11 months ago
Remote, WorldwideSenior
Base Salary
$190k - $210k/yr
Responsibilities
- Develop, deploy, and maintain state-of-the-art machine learning models for medical imaging, NLP, and multimodal tasks.
- Design and implement robust, scalable ML pipelines and shared infrastructure to support agile experimentation and deployment.
- Collaborate with researchers to translate novel algorithms into production-ready solutions.
- Build and maintain MLOps tools and practices, including automated testing, continuous integration, and monitoring of deployed models.
- Optimize model performance for speed, reliability, and scalability in production environments.
- Partner with clinicians, engineers, and product teams to align machine learning efforts with clinical and product needs.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field with 5+ years' experience in relevant roles.
- Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring.
- Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker and Terraform.
- Familiarity with healthcare data and clinical workflows is a plus.
- Exceptional problem-solving skills, ownership mindset, and a collaborative approach.
- Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.
Benefits
- Competitive salary and benefits package.
- Opportunity to work with a leading company in AI in medical imaging.
- Flexible working hours and fully remote position, some travel is required.
- Collaborative and innovative work environment.
- Health insurance and retirement plans programs.
- Professional development opportunities and support for continuous learning.